176 to 200 of 605 Machine Learning Jobs in London

enterprise marketing ecosystem. This position operates at the crossroads of marketing, data, and technology, with a strong emphasis on marketing tech data, AI & machine learning, and data workflows. You will play a key role in enhancing platform performance, strengthening integrations, and enabling scalable, data-driven marketing operations. This … sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment Uphold data quality, governance, and compliance standards across all systems Identify opportunities to improve process efficiency, platform ...

enterprise marketing ecosystem. This position operates at the crossroads of marketing, data, and technology, with a strong emphasis on marketing tech data, AI & machine learning, and data workflows. You will play a key role in enhancing platform performance, strengthening integrations, and enabling scalable, data-driven marketing operations. This … sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment Uphold data quality, governance, and compliance standards across all systems Identify opportunities to improve process efficiency, platform ...

Head of Data Science to lead a team of 6+. In this role, you will set the technical direction and foster the transition to machine learning engineering, significantly impacting various operational areas. Ideal candidates should have proven leadership in data science, experience with building and deploying machine learning models, and the ability to guide teams with mentorship. This position is located in England and offers a competitive salary of £110K to £120K plus bonus. #J-18808-Ljbffr ...

they've built one of the world's most widely used open source data labelling platforms — trusted by over 350,000 data scientists and ML engineers worldwide. Their platform enables enterprises to train, evaluate, and fine-tune AI models using high-quality annotated data, combining powerful software with managed data … company goes to market across the region. You'll run full-cycle enterprise sales processes, selling into technical and senior stakeholders — data scientists, ML engineers, Heads of AI, CTOs, and VP-level buyers. Deal sizes typically range from ~$100k to $120k+, with larger enterprise opportunities up to ~$600k, and sales ...

segmentation, and other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

Collaborate across Arrows’ international network to cross-sell opportunities Experience Minimum of 2 years’ 360 recruitment experience, within emerging technologies such as data, AI, ML or datacentres Proven success recruiting for the US market (perm placements essential) Strong business development and client acquisition skills Track record of exceeding financial … performance targets Knowledge of Data, AI, ML or Cloud technologies https://careers.arrowsgroup.com/Perks and Benefits Holiday – unlimited annual leave and Christmas shutdown Wellbeing – Hybrid working, home office setup budget, private healthcare, EAP with Health Assured, subsidised gym membership High Achiever Incentives – Up to 30% commission, bonuses ...

Senior Recruitment Consultant – Data, AI & Machine Learning 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to take your recruitment career to the next level in one of the most exciting tech verticals on the market? At Arrows Group, we’re experts … performing environment with the support, flexibility and earning potential to thrive. What you'll be doing: Own and grow a Data/AI/ML desk (contract or perm), with access to warm clients and high-value roles Build and manage relationships with top tech talent and hiring teams Drive ...

production-grade code to manage and execute orders across multiple MFT strategies and multiple exchanges in equities, crypto, and futures. Work with quant and machine learning researchers to continuously refine and improve data pipelines and execution algorithms. Provide an extra pair of hands for various other SE/… Build, maintain, and develop robust and optimized production-grade code. Manage and execute orders across multiple MFT strategies and exchanges. Collaborate with quant and machine learning researchers. Refine and improve data pipelines and execution algorithms. Support various SE/QD workloads. Qualifications Experience developing live execution systems across ...

Responsibilities Lead optimisation of labour scheduling within Blue Yonder Configure and enhance existing labour and workforce planning models Improve forecast accuracy, potentially leveraging machine learning capabilities Translate outputs into actionable scheduling for stores Ensure the business has the right staffing levels at the right time Work across teams … workforce planning systems Ability to work with data, forecasting models, and scheduling logic Experience integrating enterprise tools into operational business environments Desirable Exposure to machine learning/advanced forecasting techniques Retail or in-store workforce planning experience Experience working with or alongside consultancies (e.g. discovery → delivery transition ...

Contract ML Engineers – R&D OR Edge Deployment (SC/DV Cleared) UK-Based | 6–12 Months | Outside IR35 | Competitive Day Rate This is ML work at the point where research meets reality. You’ll be supporting programmes focused on autonomous and defence systems, working across either: R&D/… Neural Network Development Improving model performance at architecture level Working on advanced concepts (e.g. spiking neural networks) Deep technical ML problem solving Deployment/Integration Running models on edge/constrained hardware Optimising inference (TensorRT, compression, etc.) Integrating into real-world systems Across both, you’ll need: Strong Python + ...

innovation. The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development ...

days per week in-office) Salary: Up to £90,000 base + benefits Type: Full-time Overview We’re hiring a Senior AI/ML Engineer to join a fast-growing SaaS business working on large-scale, real-world AI problems. The team processes billions of data points daily … strong ownership, focused on building new AI‐driven product capabilities from early experimentation through to production. Responsibilities Design, prototype, and launch new AI/ML capabilities with clear customer impact. Translate product and customer needs into experiments, POCs, and production solutions. Build and operate scalable, production-grade ML systems. Work ...

embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting **end-to-end AI pipelines**, from data ingestion through to model deployment. Leading engineering teams across AI, machine … Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms ...

proficiency (Git) all analytical work should be reproducible and code-reviewed Statistical & Analytical Foundation Postgraduate qualification (Master's or equivalent) in Statistics, Applied Mathematics, Machine Learning, Data Science, or a closely related quantitative field or demonstrated equivalent experience Deep understanding of statistical inference, uncertainty quantification, and the practical ...

frameworks and tools. Experience with real-time data processing and streaming architectures. Basic understanding of machine learning concepts and how to operationalize ML models. ...

Data Analyst role Not a Power BI/dashboard developer role Not an insight, reporting or MI position Not a modelling, ML or research-focused role Not an LLM, AI or advanced data science role While you may work alongside analysts and data scientists, this role does not centre … This role is unlikely to be appropriate for candidates who: Are very senior data engineers or architects Have primarily worked in advanced ML, AI, or research-focused roles Are specialised Power BI, reporting or MI developers Are looking for a role centred on analysis, insights or modelling Are seeking leadership ...

work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.**About the Role**As a **Senior Principal Data Scientist**, you will contribute deep technical expertise while helping shape best practices across … Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven track record of deploying or partnering on **customer-facing production ML systems**.* Proficiency in Python and SQL (experience with distributed or cloud‐based data platforms is a plus)* Ability to communicate technical ideas clearly ...

with clients.* Develop compelling narratives around IQVIA’s newest AI solutions and systems.### ### **Project Leadership & Delivery*** Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources.* Manage cross‐functional teams to ensure high‐quality, on‐time … solutions using state‐of‐the‐art platforms.* Lead multidisciplinary teams combining industry, technical, and functional expertise.* Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies.* Collaborate with external technology partners for successful delivery.### ### **Practice Building*** Shape and scale a new AI Life Sciences practice, including defining ...

want to build ML and LLM products that directly impact revenue at scale? Have you taken ML models from idea to production in a fast-paced environment? Are you ready to own 0-1 AI capabilities in a high-growth SaaS business? A fast-scaling, VC-backed SaaS company … learning systems to detect and prevent invalid traffic and ad fraud. Operating at massive data scale, they sit at the intersection of ML, data engineering, and adversarial systems. Data science is central to their product innovation, with a strong focus on real-world impact over research. This ...

organisational structures that enable data democratisation. D&AI Use Case Development & Value Realisation : End-to-end advisory from identifying high-potential AI/ML opportunities to developing business cases, prioritising implementation roadmaps, and establishing ROI measurement frameworks to track and demonstrate value. D&AI Architecture & Platform Advisory : Combining architectural assessments … data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within a wider technology function or a business unit. Experience of helping organisations ...

open‐source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs … prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership ...

logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service … solutions. Our stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm ...

cases aligned to business drivers Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender … search, embeddings) ✅ What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management ...

/CD pipelines (e.g., Azure DevOps) and infrastructure-as-code tools (e.g., Terraform) Familiarity with modern data platforms such as Snowflake Exposure to machine learning/AI workflows and related tooling Strong familiarity with Python libraries and developer tooling Nice to Have Experience in investment or financial services ...

drive continuous improvement. What You Bring Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration. Deep understanding of large language models, machine learning frameworks, and AI architectures. Proficiency in programming languages (Python, Java, C#). Strong analytical and problem-solving skills for complex system design. Experience ...